AI and ML Engineer (NLP/LLM)

Location: On-site in the New York City or San Francisco office, United States

Salary: $180,000–$260,000 base annually, plus equity and benefits.

Company

hirify.global is an AI search marketing platform providing analytics, intelligence, and agent automation for brands.

What you will do

• Build and deploy large-scale NLP models for classification, ranking, clustering, topic extraction, and summarization.
• Design end-to-end LLM workflows for topic discovery, briefs, outlines, drafts, revision loops, and publish-ready content.
• Develop prompt and template libraries with retrieval, evidence grounding, citations, and brand- and channel-specific generation.
• Create content evaluation frameworks covering factuality, coverage, tone, safety, and originality through LLM rubrics, human review, and red teaming.
• Measure AEO and SEO visibility, engagement, and conversion while running experiments to improve quality, cost, and latency.
• Transform text datasets into production features, maintain data pipelines, and collaborate on customer-facing metrics and experiments.

Requirements

• Production experience shipping machine learning systems at scale, particularly with large text datasets.
• Hands-on experience with LLM content systems, including prompting, templating, retrieval or RAG, guardrails, and evaluations.
• Strong Python skills, SQL fluency, and experience with modern machine learning tooling.
• Knowledge of machine learning and generation-quality metrics, including offline and online evaluation and monitoring.
• Ability to innovate beyond off-the-shelf solutions and communicate clearly with technical and non-technical partners.
• Ability to work on-site in the New York City or San Francisco office.

Culture & Benefits

• Fast-paced, high-performance environment with trust, autonomy, and responsibility.
• Close collaboration with product, engineering, data, and go-to-market teams.
• Competitive base compensation, meaningful equity, and a full range of benefits and perks.
• Opportunity to take ownership of product analytics and influence how usage is measured and product decisions are made.

Hiring process

• Final compensation is determined during the interview process based on skills, experience, qualifications, and location.
• Additional details about the total compensation package and benefits are shared as candidates progress through hiring.